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Social learning theory is a theory of social behavior that proposes that new behaviors can be acquired by observing and imitating others. It states that learning is a cognitive process that takes place in a social context and can occur purely through observation or direct instruction, even in the absence of motor reproduction or direct reinforcement. [1]
Competency-based learning or competency-based education is a framework for teaching and assessment of learning. It is also described as a type of education based on predetermined "competencies," which focuses on outcomes and real-world performance. [1]
Emotional intelligence (EI), also known as emotional quotient (EQ), is the ability to perceive, use, understand, manage, and handle emotions.High emotional intelligence includes emotional recognition of emotions of the self and others, using emotional information to guide thinking and behavior, discerning between and labeling of different feelings, and adjusting emotions to adapt to environments.
Social neuroscience is an interdisciplinary field devoted to understanding the relationship between social experiences and biological systems.Humans are fundamentally a social species, and studies indicate that various social influences, including life events, poverty, unemployment and loneliness can influence health related biomarkers.
Sixteen faces expressing the human passions – colored engraving by J. Pass, 1821, after Charles Le Brun. Emotions are physical and mental states brought on by neurophysiological changes, variously associated with thoughts, feelings, behavioral responses, and a degree of pleasure or displeasure.
Leon Festinger, born in 1919 in New York City, [6] was an American social psychologist whose contributions to psychology include the cognitive dissonance theory, social comparison theory, and the proximity effect.
Microlearning refers to a set of compact e-learning modules that are designed to reduce learner fatigue. The modules can be educational, professional, or skill-based, and are usually designed to be less than 20 minutes long, with a single learning objective or topic. [1]
For many years, sequence modelling and generation was done by using plain recurrent neural networks (RNNs). A well-cited early example was the Elman network (1990). In theory, the information from one token can propagate arbitrarily far down the sequence, but in practice the vanishing-gradient problem leaves the model's state at the end of a long sentence without precise, extractable ...